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Sto caricando le informazioni... Text Mining with R: A Tidy Approachdi Julia Silge
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Iscriviti per consentire a LibraryThing di scoprire se ti piacerà questo libro. Attualmente non vi sono conversazioni su questo libro. Great intro to this field. Been going through this weekend using the Jane Austen examples and applying to a contemporary novel for an essay I'm writing with positive results and some fancy visuals. Took a bit of tinkering to reapply the code but a well written guide for those with a small amount of knowledge or just want to have a play around with the examples. ( ) nessuna recensione | aggiungi una recensione
Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you ?ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr . You ?ll learn how tidytext and other tidy tools in R can make text analysis easier and more effective. The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You ?ll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media. Learn how to apply the tidy text format to NLP Use sentiment analysis to mine the emotional content of text Identify a document ?s most important terms with frequency measurements Explore relationships and connections between words with the ggraph and widyr packages Convert back and forth between R ?s tidy and non-tidy text formats Use topic modeling to classify document collections into natural groups Examine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages Non sono state trovate descrizioni di biblioteche |
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Google Books — Sto caricando le informazioni... GeneriSistema Decimale Melvil (DDC)519.502855133Natural sciences and mathematics Mathematics Applied Mathematics, Probabilities Statistical MathematicsClassificazione LCVotoMedia:
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